文章基本信息

标题：Extracting Noun Phrases in Subject and Object Roles for Exploring Text Semantics
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作者：Ani Thomas ; M K Kowar ; Sanjay Sharma 等
期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2011
卷号：3
期号：1
页码：1-7
出版社：Engg Journals Publications
摘要：In tune with the recent developments in the automatic retrieval of text semantics, this paper is an attempt to extract one of the most fundamental semantic units from natural language text. The context is intuitively extracted from typed dependency structures basically depicting dependency relations instead of Part-Of-Speech tagged representation of the text. The dependency relations imply deep, fine grained, labeled dependencies that encode longdistance relations and passive information. Apart from the typed dependencies, the present work does not take the help of Noun phrase Chunking tool or Part of speech Taggers for the compound noun phrase extraction.
关键词：semantic analysis; parsing; dependency structures; noun phrases; subject-object nouns